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Found 5 papers, 2 papers with code
The FinBen: An Holistic Financial Benchmark for Large Language Models
This along with the rapid development of LLMs, highlights the urgent need for a systematic financial evaluation benchmark for LLMs.
Comparing Hallucination Detection Metrics for Multilingual Generation
While many automatic hallucination detection techniques have been proposed for English texts, their effectiveness in multilingual contexts remains unexplored.
Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination
In this paper, we provide an empirical examination of LLMs' hallucination behaviors in financial tasks.
Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification
Large Language Models (LLMs) have demonstrated remarkable proficiency in generating fluent text.
Translate to Disambiguate: Zero-shot Multilingual Word Sense Disambiguation with Pretrained Language Models
To better understand this contrast, we present a new study investigating how well PLMs capture cross-lingual word sense with Contextual Word-Level Translation (C-WLT), an extension of word-level translation that prompts the model to translate a given word in context.
